Intel has demonstrated its Intel Nervana Neural Network Processors (NNP) for training (NNP-T1000) and inference (NNP-I1000).
This is Intel’s first purpose-built ASICs for deep learning with scale and efficiency for cloud and data center customers.
Intel also revealed its next-generation Intel Movidius Myriad Vision Processing Unit (VPU) for edge media, computer vision and inference applications.
“Intel Nervana NNPs and Movidius Myriad VPUs are necessary to continue the incredible progress in AI,” said Naveen Rao, Intel corporate vice president and general manager of the Intel Artificial Intelligence Products Group.
Intel’s AI solutions are expected to generate more than $3.5 billion in revenue in 2019. Intel’s AI portfolio helps customers enable AI model development and deployment at any scale from massive clouds to tiny edge devices.
The Intel Nervana NNPs are part of a systems-level AI approach offering a full software stack developed with open components and deep learning framework integration for maximum use.
The Intel Nervana NNP-I is power- and budget-efficient and ideal for running intense, multimodal inference at real-world scale using flexible form factors. Both products were developed for the AI processing needs of leading-edge AI customers like Baidu and Facebook.
“We are working with Intel to deploy faster and more efficient inference compute with the Intel Nervana Neural Network Processor for inference and to extend support for our state-of-the-art deep learning compiler, Glow, to the NNP-I,” said Misha Smelyanskiy, director, AI System Co-Design at Facebook.
Intel’s next-generation Intel Movidius VPU, scheduled to be available in the first half of 2020, incorporates efficient architectural advances that are expected to deliver leading performance — more than 10 times the inference performance as the previous generation — with up to six times the power efficiency of competitor processors.
Intel also announced its new Intel DevCloud for the Edge, which along with the Intel Distribution of OpenVINO toolkit, addresses a key pain point for developers — allowing them to prototype and test AI solutions on a range of Intel processors before they buy hardware.
